"Alerted.org

DevOps/Infrastructure Engineer ROCGJP00038968 * Hourly pay: $60-$70/hr * Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Hybrid, Must be on-site 3 days/week) * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 12 Month Assignment A leading biotechnology company is seeking a DevOps/Infrastructure Engineer. The successful candidate will be primarily responsible for building, deploying, and maintaining the infrastructure for cutting-edge software that leverages generative AI models and applications in collaboration with AI scientists, full-stack developers, and others. DevOps/Infrastructure Engineer Responsibilities: * Innovate and develop software applications to support clinical development * Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows. * Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. * Monitor pipeline performance in production and implement necessary improvements. * Code Quality and Documentation: Write clean, maintainable, and welldocumented code. Participate in code reviews and contribute to best practices in software development. * Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. DevOps/Infrastructure Engineer Qualifications: * 2+ years of experience with front-end frameworks (preferably Vue.js). * 2+ years of developing and deploying AI/ML solutions or applications. * 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2). * Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. * An experienced full-stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor. * Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake). * Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation) * Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar is preferred. * Experience with microservices architecture and managing distributed systems is preferred. Experience with DevSecOps practices and security scanning tools is preferred. * Experience with database administration and management, including performance tuning, backups, and disaster recovery is preferred. * Experience with cloud cost optimization strategies, performance engineering, and application optimization is preferred. * Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack). * Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift). * Experience with test automation e.g. Playwright is preferred. * Experience designing and developing RESTful APIs (with e.g. Python FastAPI). * Experience in the automation and speeding up of the software development lifecycle. * Software development process skills like test automation, deployment, maintenance, or ML model deployment/monitoring. * Experience with caching and data store technologies like Redis. * Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions). * Experience with using NLP/LLMs on clinical text is preferred. * Experience with security best practices and compliance frameworks. * A clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. * Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar). * Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes) * Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD). * Knowledge of system administration, particularly with Linux. * Strong incident management and root cause analysis skills. * Familiar with Agile methodologies. * Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. * Familiarity with CRDT technologies like Yjs is preferred. * Basic knowledge of clinical drug development is preferred. #PP